IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
c6520a5 verified
raw
history blame
7.85 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-base",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"hub_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 2
},
"new_tokens": null,
"latency": true,
"memory": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.41.0",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 975.58528,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.607168
},
"latency": {
"unit": "s",
"count": 70,
"total": 1.0000887060165404,
"mean": 0.014286981514522006,
"stdev": 0.0004046909014813206,
"p50": 0.014171648025512695,
"p90": 0.014653542804718018,
"p95": 0.01497089729309082,
"p99": 0.01573415967941284,
"values": [
0.01568051242828369,
0.0158535680770874,
0.015467519760131837,
0.014728192329406739,
0.014363648414611817,
0.014127103805541993,
0.014821375846862793,
0.014625791549682618,
0.014441472053527832,
0.014082048416137695,
0.014205951690673829,
0.014115839958190919,
0.014645248413085938,
0.014323712348937988,
0.013938688278198242,
0.01415782356262207,
0.014559231758117675,
0.014302207946777343,
0.014554112434387208,
0.014363648414611817,
0.014498815536499024,
0.013945856094360352,
0.014183423995971679,
0.014105600357055664,
0.014496767997741699,
0.014410719871520997,
0.014520319938659668,
0.014880767822265625,
0.014486528396606446,
0.014500864028930664,
0.01439027214050293,
0.014449664115905762,
0.013932543754577637,
0.013668352127075196,
0.014228480339050293,
0.014503935813903808,
0.014595071792602539,
0.01437183952331543,
0.014118911743164063,
0.014112768173217773,
0.014063615798950196,
0.014227456092834472,
0.014148608207702636,
0.014132224082946777,
0.014072832107543945,
0.013849599838256836,
0.013817855834960938,
0.013840383529663085,
0.013836288452148437,
0.014104576110839843,
0.01415987205505371,
0.014047231674194336,
0.014064640045166015,
0.014057472229003906,
0.014026752471923828,
0.013997056007385255,
0.013810688018798829,
0.013881343841552735,
0.013784064292907714,
0.01386393642425537,
0.014017536163330077,
0.014008319854736329,
0.014107711791992187,
0.01409337615966797,
0.014482432365417481,
0.015044639587402344,
0.014239744186401367,
0.014234623908996581,
0.014191616058349609,
0.014123007774353028
]
},
"throughput": {
"unit": "samples/s",
"value": 69.99379112960634
},
"energy": {
"unit": "kWh",
"cpu": 1.5911024146609836e-07,
"ram": 8.659979004005435e-08,
"gpu": 3.336780447200059e-07,
"total": 5.793880762261586e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1725958.8884077407
}
}
}
}